{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T23:54:44Z","timestamp":1781740484112,"version":"3.54.5"},"reference-count":52,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T00:00:00Z","timestamp":1649030400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T00:00:00Z","timestamp":1649030400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2022,10]]},"DOI":"10.1007\/s10586-022-03575-6","type":"journal-article","created":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T12:03:45Z","timestamp":1649073825000},"page":"3561-3589","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":54,"title":["Data replica placement approaches in fog computing: a review"],"prefix":"10.1007","volume":"25","author":[{"given":"Esmaeil","family":"Torabi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mostafa","family":"Ghobaei-Arani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ali","family":"Shahidinejad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,4,4]]},"reference":[{"key":"3575_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-020-04847-2","author":"J Guo","year":"2020","unstructured":"Guo, J., Li, C., Luo, Y.: Fast replica recovery and adaptive consistency preservation for edge cloud system. Soft Comput. (2020). https:\/\/doi.org\/10.1007\/s00500-020-04847-2","journal-title":"Soft Comput."},{"key":"3575_CR2","doi-asserted-by":"crossref","unstructured":"Nikoui, T.S.,  Rahmani, A.M., Tabarsaied, H.: Data management in fog computing. In: Fog and Edge Computing, Hoboken: Wiley, 2019, pp. 171\u2013190","DOI":"10.1002\/9781119525080.ch8"},{"issue":"3","key":"3575_CR3","doi-asserted-by":"publisher","first-page":"17","DOI":"10.4018\/IJISSC.2017070102","volume":"8","author":"K Tabet","year":"2017","unstructured":"Tabet, K., Mokadem, R., Laouar, M.R., Eom, S.: Data replication in cloud systems. Int. J. Inf. Syst. Soc. Chang. 8(3), 17\u201333 (2017). https:\/\/doi.org\/10.4018\/IJISSC.2017070102","journal-title":"Int. J. Inf. Syst. Soc. Chang."},{"key":"3575_CR4","first-page":"9","volume":"21","author":"MAJ Jamali","year":"2020","unstructured":"Jamali, M.A.J., Bahrami, B., Heidari, A., Allahverdizadeh, P., Norouzi, F.: IoT architecture BT. Towards Internet Things 21, 9\u201331 (2020)","journal-title":"Towards Internet Things"},{"key":"3575_CR5","doi-asserted-by":"publisher","first-page":"102033","DOI":"10.1016\/j.sysarc.2021.102033","volume":"116","author":"R Rani","year":"2020","unstructured":"Rani, R., Kumar, N., Khurana, M., Kumar, A., Barnawi, A.: Storage as a service in Fog computing: a systematic review. J. Syst. Archit. 116, 102033 (2020). https:\/\/doi.org\/10.1016\/j.sysarc.2021.102033","journal-title":"J. Syst. Archit."},{"key":"3575_CR6","volume-title":"Fog Computing and Internet of Things in One Building Block: A Survey and an Overview of Interacting Technologies","author":"G Fersi","year":"2021","unstructured":"Fersi, G.: Fog Computing and Internet of Things in One Building Block: A Survey and an Overview of Interacting Technologies, vol. 4. Springer, New York (2021)"},{"key":"3575_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.7717\/PEERJ-CS.539","volume":"7","author":"A Heidari","year":"2021","unstructured":"Heidari, A., Navimipour, N.J.: A new SLA-aware method for discovering the cloud services using an improved nature-inspired optimization algorithm. PeerJ Comput. Sci. 7, 1\u201321 (2021). https:\/\/doi.org\/10.7717\/PEERJ-CS.539","journal-title":"PeerJ Comput. Sci."},{"key":"3575_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-021-03283-7","volume-title":"Data replication schemes in cloud computing: a survey","author":"A Shakarami","year":"2021","unstructured":"Shakarami, A., Ghobaei-Arani, M., Shahidinejad, A., Masdari, M., Shakarami, H.: Data replication schemes in cloud computing: a survey. Springer, New York (2021)"},{"key":"3575_CR9","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/j.jnca.2015.12.016","volume":"64","author":"Y Qin","year":"2016","unstructured":"Qin, Y.: When things matter: a survey on data-centric Internet of Things. J. Netw. Comput. Appl. 64, 137\u2013153 (2016)","journal-title":"J. Netw. Comput. Appl."},{"issue":"8","key":"3575_CR10","first-page":"112","volume":"49","author":"R Buyya","year":"2016","unstructured":"Buyya, R., Dastjerdi, A.: Fog computing: helping the internet of things realize its potential. Computer (Long. Beach. Calif) 49(8), 112\u2013116 (2016)","journal-title":"Computer (Long. Beach. Calif)"},{"key":"3575_CR11","volume-title":"Managing and Mining Sensor Data","author":"K Aberer","year":"2013","unstructured":"Aberer, K., Sathe, S., Papaioannou, T.G., Jeung, H.: A survey of model-based sensor data acquisition and management. In: Aggarwal, C.C. (ed.) Managing and Mining Sensor Data. Springer, Boston (2013)"},{"key":"3575_CR12","doi-asserted-by":"publisher","first-page":"370","DOI":"10.1016\/j.eswa.2017.06.027","volume":"87","author":"KM Azad","year":"2017","unstructured":"Azad, K.M., Pramanik, I., Lau, R., Demirkan, H.: Smart health\u202f: Big data enabled health paradigm within smart cities. Expert Syst. Appl. 87, 370\u2013373 (2017)","journal-title":"Expert Syst. Appl."},{"key":"3575_CR13","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.jnca.2016.08.002","volume":"73","author":"T Noel","year":"2016","unstructured":"Noel, T., Karkouch, A., Mousannif, H., Al-Moatassime, H.: Data quality in Internet of Things: a state-of-the-art survey. J. Netw. Comput. Appl. 73, 57\u201381 (2016)","journal-title":"J. Netw. Comput. Appl."},{"key":"3575_CR14","doi-asserted-by":"publisher","first-page":"4621","DOI":"10.1109\/ACCESS.2017.2682640","volume":"5","author":"SK Sharma","year":"2017","unstructured":"Sharma, S.K., Wang, X.: Live data analytics with collaborative edge and cloud processing in wireless IoT networks. IEEE Access 5, 4621\u20134635 (2017)","journal-title":"IEEE Access"},{"key":"3575_CR15","doi-asserted-by":"publisher","unstructured":"Naas, M.I., Parvedy, P.R., Boukhobza, J., Lemarchand, L.: IFogStor: an IoT data placement strategy for fog infrastructure. In: 2017 IEEE 1st International Conference on Fog and Edge Computing. ICFEC 2017, pp. 97\u2013104, 2017, https:\/\/doi.org\/10.1109\/ICFEC.2017.15.","DOI":"10.1109\/ICFEC.2017.15"},{"key":"3575_CR16","doi-asserted-by":"crossref","unstructured":"da Silva, D.M.A., Asamooning, G., Orrillo, H., Sofia, R. C., Mendes, P.M.: An analysis of fog computing data placement algorithms. arXiv Comput. Sci., (2020), arXiv:2005.11847v1.","DOI":"10.1145\/3360774.3368201"},{"key":"3575_CR17","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1016\/j.future.2018.10.039","volume":"93","author":"F Karatas","year":"2019","unstructured":"Karatas, F., Korpeoglu, I.: Fog-based data distribution Service (F-DAD) for Internet of Things (IoT) applications. Futur. Gener. Comput. Syst. 93, 156\u2013169 (2019). https:\/\/doi.org\/10.1016\/j.future.2018.10.039","journal-title":"Futur. Gener. Comput. Syst."},{"key":"3575_CR18","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1016\/j.jnca.2016.02.005","volume":"64","author":"BA Milani","year":"2016","unstructured":"Milani, B.A., Navimipour, N.J.: A comprehensive review of the data replication techniques in the cloud environments: major trends and future directions. J. Netw. Comput. Appl. 64, 229\u2013238 (2016). https:\/\/doi.org\/10.1016\/j.jnca.2016.02.005","journal-title":"J. Netw. Comput. Appl."},{"key":"3575_CR19","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/7597686","author":"V Moysiadis","year":"2018","unstructured":"Moysiadis, V., Sarigiannidis, P., Moscholios, I.: Towards distributed data management in fog computing. Wirel. Commun. Mob. Comput. (2018). https:\/\/doi.org\/10.1155\/2018\/7597686","journal-title":"Wirel. Commun. Mob. Comput."},{"key":"3575_CR20","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-020-04802-1","author":"N Mansouri","year":"2020","unstructured":"Mansouri, N., Javidi, M.M.: A review of data replication based on meta-heuristics approach in cloud computing and data grid. Soft Comput. (2020). https:\/\/doi.org\/10.1007\/s00500-020-04802-1","journal-title":"Soft Comput."},{"issue":"1","key":"3575_CR21","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1186\/s40537-019-0178-3","volume":"6","author":"S Mazumdar","year":"2019","unstructured":"Mazumdar, S., Seybold, D., Kritikos, K., Verginadis, Y.: A survey on data storage and placement methodologies for Cloud-Big Data ecosystem. J. Big Data 6(1), 15 (2019). https:\/\/doi.org\/10.1186\/s40537-019-0178-3","journal-title":"J. Big Data"},{"key":"3575_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2020.102882","volume":"174","author":"AA Sadri","year":"2021","unstructured":"Sadri, A.A., Rahmani, A.M., Saberikamarposhti, M., Hosseinzadeh, M.: Fog data management: a vision, challenges, and future directions. J. Netw. Comput. Appl. 174, 102882 (2021). https:\/\/doi.org\/10.1016\/j.jnca.2020.102882","journal-title":"J. Netw. Comput. Appl."},{"issue":"1","key":"3575_CR23","doi-asserted-by":"publisher","first-page":"103008","DOI":"10.1016\/j.jnca.2021.103008","volume":"180","author":"MSU Islam","year":"2021","unstructured":"Islam, M.S.U., Kumar, A., Hu, Y.-C.: Context-aware scheduling in Fog computing: a survey, taxonomy, challenges and future directions\u201d. J. Netw. Comput. Appl. 180(1), 103008 (2021). https:\/\/doi.org\/10.1016\/j.jnca.2021.103008","journal-title":"J. Netw. Comput. Appl."},{"key":"3575_CR24","doi-asserted-by":"publisher","DOI":"10.1108\/K-12-2020-0909","author":"A Heidari","year":"2021","unstructured":"Heidari, A., Navimipour, N.J.: Service discovery mechanisms in cloud computing: a comprehensive and systematic literature review. Kybernetes (2021). https:\/\/doi.org\/10.1108\/K-12-2020-0909","journal-title":"Kybernetes"},{"issue":"4","key":"3575_CR25","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1007\/s00287-019-01192-z","volume":"42","author":"T Hie\u00dfl","year":"2019","unstructured":"Hie\u00dfl, T., Hochreiner, C., Schulte, S.: Towards a framework for data stream processing in the fog. Inform. Spektrum 42(4), 256\u2013265 (2019). https:\/\/doi.org\/10.1007\/s00287-019-01192-z","journal-title":"Inform. Spektrum"},{"issue":"3","key":"3575_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10723-021-09571-1","volume":"19","author":"MI Naas","year":"2021","unstructured":"Naas, M.I., Lemarchand, L., Raipin, P., Boukhobza, J.: IoT data replication and consistency management in fog computing. J. Grid Comput. 19(3), 1\u201325 (2021). https:\/\/doi.org\/10.1007\/s10723-021-09571-1","journal-title":"J. Grid Comput."},{"issue":"10","key":"3575_CR27","doi-asserted-by":"publisher","first-page":"1191","DOI":"10.1007\/s11265-019-1444-5","volume":"91","author":"T Huang","year":"2019","unstructured":"Huang, T., Lin, W., Li, Y., He, L.G., Peng, S.L.: A latency-aware multiple data replicas placement strategy for fog computing. J. Signal Process. Syst. 91(10), 1191\u20131204 (2019). https:\/\/doi.org\/10.1007\/s11265-019-1444-5","journal-title":"J. Signal Process. Syst."},{"issue":"11","key":"3575_CR28","doi-asserted-by":"publisher","first-page":"7209","DOI":"10.1007\/s11227-019-02930-6","volume":"75","author":"C Li","year":"2019","unstructured":"Li, C., Tang, J., Luo, Y.: Scalable replica selection based on node service capability for improving data access performance in edge computing environment. J. Supercomput. 75(11), 7209\u20137243 (2019)","journal-title":"J. Supercomput."},{"issue":"4","key":"3575_CR29","doi-asserted-by":"publisher","first-page":"2643","DOI":"10.1007\/s11277-020-07168-7","volume":"112","author":"N Saranya","year":"2020","unstructured":"Saranya, N., Geetha, K., Rajan, C.: Data replication in mobile edge computing systems to reduce latency in internet of things. Wirel. Pers. Commun. 112(4), 2643\u20132662 (2020). https:\/\/doi.org\/10.1007\/s11277-020-07168-7","journal-title":"Wirel. Pers. Commun."},{"issue":"4","key":"3575_CR30","doi-asserted-by":"publisher","first-page":"2225","DOI":"10.1007\/s11277-018-5936-6","volume":"106","author":"NMF Qureshi","year":"2019","unstructured":"Qureshi, N.M.F., et al.: An aggregate MapReduce data block placement strategy for wireless IoT edge nodes in smart grid. Wirel. Pers. Commun. 106(4), 2225\u20132236 (2019). https:\/\/doi.org\/10.1007\/s11277-018-5936-6","journal-title":"Wirel. Pers. Commun."},{"issue":"2","key":"3575_CR31","doi-asserted-by":"publisher","first-page":"426","DOI":"10.1007\/s11036-019-01245-3","volume":"25","author":"Y Chen","year":"2020","unstructured":"Chen, Y., Deng, S., Ma, H., Yin, J.: Deploying data-intensive applications with multiple services components on edge. Mob. Netw. Appl. 25(2), 426\u2013441 (2020). https:\/\/doi.org\/10.1007\/s11036-019-01245-3","journal-title":"Mob. Netw. Appl."},{"issue":"351","key":"3575_CR32","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1016\/j.jnca.2019.03.001","volume":"135","author":"R Vales","year":"2019","unstructured":"Vales, R., Moura, J., Marinheiro, R.: Energy-aware and adaptive fog storage mechanism with data replication ruled by spatio-temporal content popularity. J. Netw. Comput. Appl. 135(351), 84\u201396 (2019). https:\/\/doi.org\/10.1016\/j.jnca.2019.03.001","journal-title":"J. Netw. Comput. Appl."},{"key":"3575_CR33","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/j.jpdc.2018.11.006","volume":"125","author":"C Li","year":"2019","unstructured":"Li, C., Bai, J., Tang, J.H.: Joint optimization of data placement and scheduling for improving user experience in edge computing. J. Parall. Distrib. Comput. 125, 93\u2013105 (2019). https:\/\/doi.org\/10.1016\/j.jpdc.2018.11.006","journal-title":"J. Parall. Distrib. Comput."},{"key":"3575_CR34","doi-asserted-by":"publisher","first-page":"921","DOI":"10.1016\/j.future.2019.05.003","volume":"100","author":"C Li","year":"2019","unstructured":"Li, C., Wang, Y.P., Tang, H., Luo, Y.: Dynamic multi-objective optimized replica placement and migration strategies for SaaS applications in edge cloud. Futur. Gener. Comput. Syst. 100, 921\u2013937 (2019). https:\/\/doi.org\/10.1016\/j.future.2019.05.003","journal-title":"Futur. Gener. Comput. Syst."},{"issue":"152\u2013166","key":"3575_CR35","doi-asserted-by":"publisher","first-page":"2019","DOI":"10.1016\/j.jnca.2019.04.018","volume":"143","author":"C Li","year":"2018","unstructured":"Li, C., Wang, Y.P., Chen, Y., Luo, Y.: Energy-efficient fault-tolerant replica management policy with deadline and budget constraints in edge-cloud environment. J. Netw. Comput. Appl. 143(152\u2013166), 2019 (2018). https:\/\/doi.org\/10.1016\/j.jnca.2019.04.018","journal-title":"J. Netw. Comput. Appl."},{"key":"3575_CR36","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.comnet.2018.10.017","volume":"148","author":"Y Shao","year":"2019","unstructured":"Shao, Y., Li, C., Tang, H.: A data replica placement strategy for IoT workflows in collaborative edge and cloud environments. Comput. Netw. 148, 46\u201359 (2019). https:\/\/doi.org\/10.1016\/j.comnet.2018.10.017","journal-title":"Comput. Netw."},{"key":"3575_CR37","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.comcom.2019.07.013","volume":"146","author":"C Li","year":"2019","unstructured":"Li, C., Wang, Y.P., Tang, H., Zhang, Y., Xin, Y., Luo, Y.: Flexible replica placement for enhancing the availability in edge computing environment. Comput. Commun. 146, 1\u201314 (2019). https:\/\/doi.org\/10.1016\/j.comcom.2019.07.013","journal-title":"Comput. Commun."},{"key":"3575_CR38","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.jnca.2019.01.001","volume":"129","author":"Y Shao","year":"2019","unstructured":"Shao, Y., Li, C., Fu, Z., Jia, L., Luo, Y.: Cost-effective replication management and scheduling in edge computing. J. Netw. Comput. Appl. 129, 46\u201361 (2019). https:\/\/doi.org\/10.1016\/j.jnca.2019.01.001","journal-title":"J. Netw. Comput. Appl."},{"key":"3575_CR39","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.jpdc.2020.04.012","volume":"143","author":"C Li","year":"2020","unstructured":"Li, C., Song, M., Zhang, M., Luo, Y.: Effective replica management for improving reliability and availability in edge-cloud computing environment. J. Parall. Distrib. Comput. 143, 107\u2013128 (2020). https:\/\/doi.org\/10.1016\/j.jpdc.2020.04.012","journal-title":"J. Parall. Distrib. Comput."},{"key":"3575_CR40","doi-asserted-by":"publisher","unstructured":"Monga, S.K., Ramachandra, S.K., Simmhan, Y.: ElfStore: A resilient data storage service for federated edge and fog resources. 2019 IEEE International Conference on Services Computing, pp. 336\u2013345, 2019, https:\/\/doi.org\/10.1109\/ICWS.2019.00062.","DOI":"10.1109\/ICWS.2019.00062"},{"key":"3575_CR41","doi-asserted-by":"publisher","unstructured":"Mayer, R., Gupta, H., Saurez, E., Ramachandran, U.: FogStore: toward a distributed data store for fog computing. 2017 IEEE Fog World Congr. FWC 2017, pp. 1\u20136, 2018, https:\/\/doi.org\/10.1109\/FWC.2017.8368524","DOI":"10.1109\/FWC.2017.8368524"},{"key":"3575_CR42","doi-asserted-by":"publisher","unstructured":"Breitbach, M., Schafer, D., Edinger, J., Becker, C.: Context-aware data and task placement in edge computing environments. In 2019 IEEE International Conference on Pervasive Computing and Communications (PerCom, Mar. 2019, pp. 1\u201310, https:\/\/doi.org\/10.1109\/PERCOM.2019.8767386.","DOI":"10.1109\/PERCOM.2019.8767386"},{"key":"3575_CR43","doi-asserted-by":"publisher","unstructured":"Confais, B., Parrein, B., Lebre, A.: A tree-based approach to locate object replicas in a fog storage infrastructure. 2018 IEEE Global Communications Conference, pp. 1\u20136, (2018), https:\/\/doi.org\/10.1109\/GLOCOM.2018.8647470.","DOI":"10.1109\/GLOCOM.2018.8647470"},{"key":"3575_CR44","doi-asserted-by":"publisher","unstructured":"Lera, I., Guerrero, C., Juiz, C.: Comparing centrality indices for network usage optimization of data placement policies in fog devices. 2018 3rd International Conference on Fog and Mobile Edge Computing FMEC 2018, pp. 115\u2013122, 2018, https:\/\/doi.org\/10.1109\/FMEC.2018.8364053.","DOI":"10.1109\/FMEC.2018.8364053"},{"issue":"4","key":"3575_CR45","doi-asserted-by":"publisher","first-page":"1624","DOI":"10.1109\/TNSM.2019.2929823","volume":"16","author":"B Confais","year":"2019","unstructured":"Confais, B., Parrein, B., Lebre, A.: Data location management protocol for object stores in a fog computing infrastructure. IEEE Trans. Netw. Serv. Manag. 16(4), 1624\u20131637 (2019). https:\/\/doi.org\/10.1109\/TNSM.2019.2929823","journal-title":"IEEE Trans. Netw. Serv. Manag."},{"issue":"2","key":"3575_CR46","doi-asserted-by":"publisher","first-page":"516","DOI":"10.1109\/TNSM.2017.2788945","volume":"15","author":"A Aral","year":"2018","unstructured":"Aral, A., Ovatman, T.: A decentralized replica placement algorithm for edge computing. IEEE Trans. Netw. Serv. Manag. 15(2), 516\u2013529 (2018). https:\/\/doi.org\/10.1109\/TNSM.2017.2788945","journal-title":"IEEE Trans. Netw. Serv. Manag."},{"key":"3575_CR47","doi-asserted-by":"publisher","unstructured":"Hasenburg, J., Grambow, M., Bermbach, D.: Towards a replication service for data-intensive fog applications. In: Proceedings of the 35th Annual ACM Symposium on Applied Computing, 2020, pp. 267\u2013270, https:\/\/doi.org\/10.1145\/3341105.3374060.","DOI":"10.1145\/3341105.3374060"},{"key":"3575_CR48","doi-asserted-by":"publisher","unstructured":"Naas, M.I., Lemarchand, L., Boukhobza, J., Raipin, P.: A graph partitioning-based heuristic for runtime IoT data placement strategies in a fog infrastructure. In: Proceedings of the Symposium on Applied Computing, pp. 767\u2013774, 2018, https:\/\/doi.org\/10.1145\/3167132.3167217.","DOI":"10.1145\/3167132.3167217"},{"key":"3575_CR49","doi-asserted-by":"publisher","unstructured":"Hasenburg, J., Grambow, M., Bermbach, D.: FBase: a replication service for data-intensive fog applications. In: Proceedings of the 35th Annual ACM Symposium on Applied Computing pp. 267\u2013270, 2019, https:\/\/doi.org\/10.1145\/3341105.3374060.","DOI":"10.1145\/3341105.3374060"},{"key":"3575_CR50","unstructured":"Gupta, H., Xu, Z., Ramachandran, U.: DataFog: towards a holistic data management platform for the IoT age at the network edge. USENIX Work. Hot Top. Edge Comput. HotEdge 2018, co-located with USENIX ATC 2018, 2018."},{"issue":"1\u201320","key":"3575_CR51","doi-asserted-by":"publisher","first-page":"2019","DOI":"10.1002\/cpe.5343","volume":"9","author":"C Guerrero","year":"2018","unstructured":"Guerrero, C., Lera, I., Juiz, C.: Optimization policy for file replica placement in fog domains. Concurr. Comput. 9(1\u201320), 2019 (2018). https:\/\/doi.org\/10.1002\/cpe.5343","journal-title":"Concurr. Comput."},{"key":"3575_CR52","doi-asserted-by":"publisher","unstructured":"Taghizadeh, J., Ghobaei-Arani, M. & Shahidinejad, A. An efficient data replica placement mechanism using biogeography-based optimization technique in the fog computing environment. J Ambient Intell Human Comput (2021). https:\/\/doi.org\/10.1007\/s12652-021-03495-0","DOI":"10.1007\/s12652-021-03495-0"}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-022-03575-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-022-03575-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-022-03575-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,2]],"date-time":"2022-09-02T18:29:28Z","timestamp":1662143368000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-022-03575-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,4]]},"references-count":52,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,10]]}},"alternative-id":["3575"],"URL":"https:\/\/doi.org\/10.1007\/s10586-022-03575-6","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4,4]]},"assertion":[{"value":"19 August 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 January 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 February 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 April 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"We certify that there is no actual or potential conflict of interest in relation to this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}